Open In App

Python Bokeh - Plotting Squares with Xs on a Graph

Last Updated : 10 Jul, 2020
Comments
Improve
Suggest changes
Like Article
Like
Report
Bokeh is a Python interactive data visualization. It renders its plots using HTML and JavaScript. It targets modern web browsers for presentation providing elegant, concise construction of novel graphics with high-performance interactivity. Bokeh can be used to plot squares with Xs on a graph. Plotting squares with Xs on a graph can be done using the square_x() method of the plotting module.

plotting.figure.square_x()

Syntax : square_x(parameters) Parameters :
  • x : x-coordinates of the center of the square
  • y : y-coordinates of the center of the square
Returns : an object of class GlyphRenderer
Example 1 : In this example we will be using the default values for plotting the graph. Python3
# importing the modules
from bokeh.plotting import figure, output_file, show
      
# file to save the model
output_file("gfg.html")
      
# instantiating the figure object
graph = figure(title = "Bokeh Square X Graph")
    
# the points to be plotted
x = 0
y = 0
   
# plotting the graph
graph.square_x(x, y, size = 30, fill_color = None)
    
# displaying the model
show(graph)
Output : Example 2 : In this example we will be plotting the multiple squares with various other parameters Python3
# importing the modules 
from bokeh.plotting import figure, output_file, show 

# file to save the model 
output_file("gfg.html") 
     
# instantiating the figure object 
graph = figure(title = "Bokeh Square X Graph") 

# name of the x-axis 
graph.xaxis.axis_label = "x-axis"
     
# name of the y-axis 
graph.yaxis.axis_label = "y-axis"

# points to be plotted
x = [3, 3, 5]
y = [3, 1, 3]
size = [130, 100, 60]

# color value of the square
color = ["yellow", "red", "purple"]

# fill alpha value of the square
fill_alpha = [0.9, 0.7, 0.5]

# plotting the graph 
graph.square_x(x, y,
               size = size,
               color = color,
               fill_alpha = fill_alpha) 
     
# displaying the model 
show(graph)
Output :

Next Article

Similar Reads